ITECH 1000 / 5000 Programming 1 School of Science‚ Information Technology and Engineering Assignment 1 Teaching Period 1 2013 Introduction This assignment requires you to understand a python program that manipulates some data involving a warehouse ordering system for a group of shoe stores at various locations. Based on this provided code‚ you are then asked to create a new python program for a different (but similar) system. You are provided with 3 files: This document‚ A data file‚ “orders
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Why computer is known as data processor? (2) What is cache memory? How is it different from primary memory? (3) Different between web page and web site. (4) What is the difference between interpreter and compiler? (5) What are the rules for pseudocode? (6) Write algorithm to print biggest of three numbers. (7) What is the purpose of main()? (8) What is an argument? Differentiate between formal arguments and actual arguments. (9) How a variable is declared to be a pointer? (10) Why use arrays
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Comparison between Waterfall Model and Spiral Model Software Development includes all the activities starting with an idea for the software to the maintenance of the software. This Software Development includes all the phases from planning to acceptance. There are several models in Software Development Life Cycle‚ but understanding the difference between these models will make me easier to decide‚ which is the right model to be used for developing the project. There are three differences between
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between pretest loop and posttest loops. A pretest loop tests its condition before each iteration. A posttest loop tests its condition after each iteration. A posttest loop will always execute at least once. 3. What is a condition-controlled loop? Because they are only executed when a condition is true 4. What is a count-controlled loop? It is a condition-controlled loop with predictable number of iterations. The loop starts at some number (usually the topmost number or zero)‚ then counts down until
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ECM1000 Research Methods in Finance Lecture 9 Autocorrelation 1 Outline • • • • Introduction Consequences of Autocorrelated Disturbances Detecting Autocorrelation Remedy References: Gujrati‚ Ch. 12 Introduction Imagine that we are fitting the regression equation to a set of economic variables observed through time: yt xt1 ........ xtk ut Then it is usual to assume that the disturbance ut represents the net effect of everything not accounted for by the systematic part of
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file="HW2-110070152#-nr.txt"‚status="replace"‚action="write"‚iostat=ios) if (ios/=0) then print*‚"Error during opening file" end if tol=0.0001 x=1 iter=0 print*‚"Iteration Calculated Root Percent True Error Percent Approximated Error" write(unit=4‚fmt=*)"For this solution initial guess is taken ONE" write(unit=4‚fmt=*)"Iteration Calculated Root Percent True Error Percent Approximated Error" do xi=x iter=iter+1 f=xi**3+2.3*xi**2+0.32*xi-0.56 d_f=3*xi**2+4.6*xi+0.32 x=xi-f/d_f
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PERT‚ CPM‚ and Agile Project Management. Robert C. Martin 5 October 2003 Some time in the late 60’s my father brought home a book that he thought I’d be interested in. The title was Introduction to Operations Research by Frederick S. Hillier and Gerald J. Lieberman‚ Holden-Day‚ 1967. I was probably 15 or 16 years old. The book languished on my shelves for perhaps ten years. Then‚ as a young software professional‚ I pulled the book down and ‚thumbing through its pages‚ I noticed a chapter on PERT
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that has the highest penalty cost. In following table‚ column C has highest penalty cost i.e. $350. and we choose cell 4C. Iteration 1) A B C Hongkong Singapore Taipei Supply Penalty 1 LA 300 210 340 450 90 2 Savannah 490 520 610 600 30 3 Galveston 360 320 500 350 40 4 Dummy 0 0 0 200 200 200 Demand 600 500 500 1400 Penalty 60 110 350 Iteration 2) A B C Hongkong Singapore Taipei Supply Penalty 1 LA 300 210 450 340 450 90 2 Savannah 490 520 610 600 30 3
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allows constant communication between the buyer‚ or the “product owner” and the seller‚ or the “scrum team”. This is a management process used widely in the development workplace. This allows the team to focus on short term goals within 1 to 2 week iterations known as sprints. If the buyer‚ BBI has changes that need to be made to the expectations‚ then the team would be able to change that on the fly‚ rather that starting from the beginning. The plan is to build things separate and then put the pieces
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to a nested loop [27]. By using this optimization‚ the loop divides into two loops that have smaller index set. The outer loop is iterate over the blocks and the inner loop iterate along the each block [27‚ 28]. It needed the clean-up code if the iteration size cannot divide strip size without remainder [29]. Code 1 is an example for strip-mine optimization. The optimization performed on the original code in 1a‚ the code in 1b is
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